Googleposted 2 days ago
$146,000 - $213,000/Yr
Full-time
Kirkland, WA

About the position

gTech’s Product and Tools Operations team (gPTO) leverages deep user, operational, and technical insights to innovate Google's Ads products into customer experiences that are so intuitive (or automated) that they require no support at all. gPTO partners closely with gTech’s Support, Professional Services, Product Management, and Engineering teams to innovate and simplify our Ads products and build the productivity tools ecosystem for gTech users. Global Demand Operations and Marketer Enablement (DOME) enables Cloud Marketing's Global Demand Engine through building and running capabilities and services. These enable marketers to execute their marketing, drive more impact, and make better decisions. We measure our success based on marketer satisfaction & adoption, business impact, and efficiency. We also love building these things on the same technology that we sell to our customers, Google Cloud Platform. In this role, you will partner with different Google teams to help develop and execute the MarTech product vision and strategy, creating a clear roadmap aligned with our ambitious business goals. Crucially, you will be expected to leverage our AI tools to amplify your own impact, fundamentally accelerating & improving how you execute your day-to-day work. Your goal is to remove the drudgery from how marketers execute their work, allowing them to spend more time on high-value marketing and less time fighting with tools or processes. You will be directly accountable for delivering on key outcomes—increasing marketer impact, boosting efficiency, improving the customer experience, and achieving high user adoption and satisfaction—while building a platform that is both powerful and intuitive.

Responsibilities

  • Define the product vision and strategy, translating ambitious business goals into a clear and actionable roadmap.
  • Translate user needs into clear requirements, authoring detailed user stories and acceptance criteria to guide the engineering team and ensure features align with strategic objectives.
  • Collaborate closely with product, engineering, design, and marketing teams to ensure the successful development, launch, and adoption of new platform capabilities.
  • Advocate for the platform and drive adoption by converting its benefits and effectively managing change across marketing teams and the broader organization.
  • Measure what matters by analyzing platform performance, going beyond simple usage data to quantify improvements in marketer productivity, business impact, and user satisfaction.
  • Leverage our tools to amplify your own impact, demonstrating how to fundamentally accelerate and improve day-to-day work.

Requirements

  • Bachelor’s degree or equivalent practical experience.
  • 6 years of experience in product management experience with a primary focus on building, launching, and managing Marketing Technology platforms.
  • Experience with Marketing Technology architecture supporting a wide array of marketing tactics, including email, web, paid media, and social.
  • Experience with AI tools to accelerate processes and enhance platform as well as individual work outputs.
  • Experience using data to inform product decisions.

Nice-to-haves

  • Experience implementing technical solutions and managing the product development lifecycle.
  • Experience with data-driven analysis, reporting, and success measurement.
  • Product experience building and shipping platforms leveraging Generative AI, with a clear understanding of how AI can drive both product innovation and development velocity.
  • Understanding of the architecture of a technical solution, including platforms, data, integrations and constraints.
  • Strong written and verbal communication skills, with the ability to engage with technical and non-technical audiences.

Benefits

  • The US base salary range for this full-time position is $146,000-$213,000 + bonus + equity + benefits.
  • Salary ranges are determined by role, level, and location.
  • Individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.
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